Laura Reden

623 total citations
9 papers, 411 citations indexed

About

Laura Reden is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Laura Reden has authored 9 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Laura Reden's work include Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Laura Reden is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Medical Imaging and Analysis (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). Laura Reden collaborates with scholars based in United States, United Kingdom and Finland. Laura Reden's co-authors include Jasjit S. Suri, S. Laxminarayan, Kecheng Liu, Sameer Singh, Xiaolan Zeng, Jasjit S. Suri, Jianbo Gao, Swamy Laxminarayan and Dee Wu and has published in prestigious journals such as Pattern Analysis and Applications, International Journal of Image and Graphics and IEEE Transactions on Information Technology in Biomedicine.

In The Last Decade

Laura Reden

8 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laura Reden United States	7	296	154	93	55	46	9	411
Sheshadri Thiruvenkadam United States	8	405 1.4×	216 1.4×	54 0.6×	87 1.6×	71 1.5×	18	603
Hüseyin Tek United States	14	569 1.9×	188 1.2×	86 0.9×	59 1.1×	141 3.1×	23	751
Florian Link Germany	7	136 0.5×	159 1.0×	94 1.0×	63 1.1×	89 1.9×	9	422
Chenyang Xu United States	11	179 0.6×	193 1.3×	97 1.0×	30 0.5×	150 3.3×	24	493
Fei Mao United States	9	244 0.8×	141 0.9×	177 1.9×	90 1.6×	83 1.8×	14	399
Max W. K. Law Hong Kong	10	162 0.5×	121 0.8×	42 0.5×	27 0.5×	96 2.1×	17	310
S. Lobregt Netherlands	9	414 1.4×	236 1.5×	83 0.9×	68 1.2×	175 3.8×	14	685
A. Mosquera Spain	12	111 0.4×	215 1.4×	84 0.9×	109 2.0×	32 0.7×	34	466
Anfei Fan United States	3	585 2.0×	160 1.0×	29 0.3×	132 2.4×	105 2.3×	6	699

Countries citing papers authored by Laura Reden

Since Specialization

Citations

This map shows the geographic impact of Laura Reden's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Laura Reden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Reden more than expected).

Fields of papers citing papers by Laura Reden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura Reden. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Laura Reden. The network helps show where Laura Reden may publish in the future.

Co-authorship network of co-authors of Laura Reden

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Reden. A scholar is included among the top collaborators of Laura Reden based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laura Reden. Laura Reden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Suri, Jasjit S., Kecheng Liu, Laura Reden, & S. Laxminarayan. (2002). A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II. IEEE Transactions on Information Technology in Biomedicine. 6(4). 338–350. 86 indexed citations

Suri, Jasjit S., Kecheng Liu, Laura Reden, & S. Laxminarayan. (2002). A review on MR vascular image processing algorithms: acquisition and prefiltering: part I. IEEE Transactions on Information Technology in Biomedicine. 6(4). 324–337. 44 indexed citations

Suri, Jasjit S., Kecheng Liu, Sameer Singh, et al.. (2002). Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review. IEEE Transactions on Information Technology in Biomedicine. 6(1). 8–28. 208 indexed citations

Suri, Jasjit S., Kecheng Liu, Laura Reden, & S. Laxminarayan. (2002). White and black blood volumetric angiographic filtering: ellipsoidal scale-space approach. IEEE Transactions on Information Technology in Biomedicine. 6(2). 142–158. 9 indexed citations

Suri, Jasjit S., Sameer Singh, Xiaolan Zeng, & Laura Reden. (2002). Advances in Computer Vision, Graphics, Image Processing and Pattern Recognition Techniques for MR Brain Cortical Segmentation and Reconstruction: A Review Toward functional MRI (fMRI). 228–317.

Suri, Jasjit S., Sameer Singh, & Laura Reden. (2002). Fusion of Region and Boundary/Surface-Based Computer Vision and Pattern Recognition Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation (Part-II): A State-of-the-Art Review. Pattern Analysis and Applications. 5(1). 77–98. 12 indexed citations

Suri, Jasjit S., et al.. (2002). MR Breast Perfusion Analysis System (BPAS). 4. 85–90. 1 indexed citations

Suri, Jasjit S., Sameer Singh, & Laura Reden. (2002). Computer Vision and Pattern Recognition Techniques for 2-D and 3-D MR Cerebral Cortical Segmentation (Part I): A State-of-the-Art Review. Pattern Analysis and Applications. 5(1). 46–76. 44 indexed citations

Suri, Jasjit S., Dee Wu, Laura Reden, et al.. (2001). MODELING SEGMENTATION VIA GEOMETRIC DEFORMABLE REGULARIZERS, PDE AND LEVEL SETS IN STILL AND MOTION IMAGERY: A REVISIT. International Journal of Image and Graphics. 1(4). 681–734. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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